> ## Documentation Index
> Fetch the complete documentation index at: https://docs.crewai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Interact with cloud services, storage systems, and cloud-based AI platforms

These tools enable your agents to interact with cloud services, access cloud storage, and leverage cloud-based AI platforms for scalable operations.

## **Available Tools**

<CardGroup cols={2}>
  <Card title="S3 Reader Tool" icon="cloud" href="/en/tools/cloud-storage/s3readertool">
    Read files and data from Amazon S3 buckets.
  </Card>

  <Card title="S3 Writer Tool" icon="cloud-arrow-up" href="/en/tools/cloud-storage/s3writertool">
    Write and upload files to Amazon S3 storage.
  </Card>

  <Card title="Bedrock Invoke Agent" icon="aws" href="/en/tools/integration/bedrockinvokeagenttool">
    Invoke Amazon Bedrock agents for AI-powered tasks.
  </Card>

  <Card title="Bedrock KB Retriever" icon="database" href="/en/tools/cloud-storage/bedrockkbretriever">
    Retrieve information from Amazon Bedrock knowledge bases.
  </Card>
</CardGroup>

## **Common Use Cases**

* **File Storage**: Store and retrieve files from cloud storage systems
* **Data Backup**: Backup important data to cloud storage
* **AI Services**: Access cloud-based AI models and services
* **Knowledge Retrieval**: Query cloud-hosted knowledge bases
* **Scalable Operations**: Leverage cloud infrastructure for processing

```python theme={null}
from crewai_tools import S3ReaderTool, S3WriterTool, BedrockInvokeAgentTool

# Create cloud tools
s3_reader = S3ReaderTool()
s3_writer = S3WriterTool()
bedrock_agent = BedrockInvokeAgentTool()

# Add to your agent
agent = Agent(
    role="Cloud Operations Specialist",
    tools=[s3_reader, s3_writer, bedrock_agent],
    goal="Manage cloud resources and AI services"
)
```